Introduction

Kim, Dae–Hee; Song, Sejun; Choi, Baek‐Young

doi:10.1007/978-3-319-42280-0_1

Cited by 1 publication

(2 citation statements)

References 7 publications

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“…Although cloud computing has been the best storage solution to address the lack of depositories [21], we still encounter problems that contributed to the ineffective genomics big data storage [22]. Some of the problems were the accumulation of data in different data formats [23], imposed rules to restrict the access the depositories [24], data duplication and redundancy [25] as well as data standardization. In 2017, [25] suggested a deduplication framework to eliminate the data redundancies.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Some of the problems were the accumulation of data in different data formats [23], imposed rules to restrict the access the depositories [24], data duplication and redundancy [25] as well as data standardization. In 2017, [25] suggested a deduplication framework to eliminate the data redundancies. This framework was based on three components; client, network and server, in which the client layer eliminate the duplication occurring from a client input while the network layer utilizes redundancy elimination devices to remove the redundancies from multiple clients.…”

Section: Literature Reviewmentioning

confidence: 99%

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Genomics big data hybrid depositories architecture to unlock precision medicine: a conceptual framework

Mohamad

Ijab

Kadir³

2018

IJET

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As the genome sequencing cost becomes more affordable, genomics studies are extensively carried out to empower the ultimate healthcare goal which is the precision medicine. By tailoring each individual medical treatment through precision medicine, it will potentially lead to nearly zero occurrence of the drugs side effects and treatment complications. Unfortunately, the complexity of the genomics data has been one of the bottlenecks that deter the advances of healthcare practices towards precision medicine. Therefore, based on the extensive literature review on the data driven genomics challenges towards precision medicine, this paper proposes two new contributions to the field; the conceptual framework for the genomics-based precision medicine and the architectural design for the development of hybrid depositories as the initial step to bridge the gap towards precision medicine. The genomics big data hybrid depositories architecture design is composed of few components; storage layer and service layer interconnected system such as visualization, data protection modeling, event processing engine and decision support, to carry out their purpose of merging the genomics data with the healthcare data.

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